The future climatic variabilities in the Mano River union, its implications on socio-economic development

IF 1.2 Q3 GEOGRAPHY
Mahmoud Solomon, O. Abiodun, Olusina Olalekan, O. Bolarinwa
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引用次数: 1

Abstract

Knowledge of climatic variability of any country or region is essential to socioeconomic development. This is particularly important as most sectors of national development can be altered if the climatic conditions are unsuitable. A hypothetical case lies in the fact that agriculture largely depends on apposite climate for fruitful production. The Mano River Region consists of some of the world's poorest and least developed nations (Guinea, Sierra Leone, Liberia, Cote D'Ivoire). The primary means of sustenance in this region is rain-fed agriculture. Knowledge of current and future climatic conditions in the region will be of significant benefit to the economy of the region. This work investigates the current and future state of climate in the region using six climatic parameters (Maximum and minimum temperature, Precipitation , Relative Humidity, Wind Speed and Solar Radiation) spanning 1975-2018. To model the im-pact/relationship, Kalman Filter was used. These variables were grouped into state transition and control variables. Transfer functions which depict relationships between every two variables at a time with one being input and the other considered as output were used to determine state transition and control variable matrices. Control variables (population and land use) were introduced to control the dynamism of the model in MATLAB environment. Results show that there is a drastic variation in climate in the region within the period of the data. This work establishes that there are rapid variabilities in these parameters which can be attributed to increase in population and loss of vegetation.
马诺河流域未来气候变化及其对社会经济发展的影响
了解任何国家或地区的气候变率对社会经济发展至关重要。这一点尤其重要,因为如果气候条件不适宜,国家发展的大多数部门都可以改变。一个假设的情况是,农业在很大程度上依赖于适宜的气候来实现丰硕的生产。马诺河地区包括一些世界上最贫穷和最不发达的国家(几内亚、塞拉利昂、利比里亚、科特迪瓦)。这个地区的主要生计来源是雨养农业。了解该地区当前和未来的气候条件将对该地区的经济有重大好处。本研究利用1975-2018年的六个气候参数(最高和最低温度、降水、相对湿度、风速和太阳辐射)研究了该地区当前和未来的气候状况。为了模拟影响/关系,使用卡尔曼滤波。这些变量被分为状态转换变量和控制变量。传递函数描述了每两个变量之间的关系,其中一个作为输入,另一个作为输出,用于确定状态转移和控制变量矩阵。在MATLAB环境下,引入控制变量(人口和土地利用)来控制模型的动态性。结果表明,该地区的气候在数据期内发生了剧烈变化。这项工作表明,这些参数的快速变化可归因于人口的增加和植被的损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.80
自引率
11.10%
发文量
8
审稿时长
4 weeks
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